今年这类工作岗位最受欢迎

再见，区块链开发者。欢迎，人工智能专家。

从雇佣数量来看，人工智能专家一职成了美国增速最快的工作岗位，至少根据领英（LinkedIn）于12月10日发布的年度新兴工作岗位报告来看，确实如此。

领英的报告称，在其职业网络服务上的人工智能专家岗位雇佣人数在过去四年里年度增长74%。不过领英并未公布这一数据具体意味着多少工作岗位，只是表明这一岗位的需求增速超过其他新兴工作岗位。

特别值得一提的是，去年排名第一位的工作岗位区块链开发者，今年从清单中消失了。可以清楚地看到，这些年虚拟货币和区块链的热度制造了区块链相关工作岗位的需求，但随着区块链热度的消失，这种需求也随之消失。

“曾经辉煌，但消失地也快。”领英的首席经济学家盖伊·伯格说。区块链开发者居然没有出现在今年的新兴工作岗位清单中，伯格说这表明了公司数据的有效性，正确反映出了“失败的趋势，或者说什么是昙花一现。”

今年清单的第二位是“机器人工程师”，这个术语涵盖了物理机器人工程师，以及所谓的机器人过程自动化工程师，这个时髦的科技包括了软件自动化基本功能，例如将数据写入清单。雇佣人数增长第三快的工作岗位是“数据科学家”。

人工智能专家这个岗位，是从曾经独占清单鳌头的机器学习和数据分析岗位演化而来的。伯格认为，尽管人工智能专家可能与数据科学家有类似的特点，但数据科学家的工作涉及更广泛的数据工具或数据图像化工具，而非只是机器学习软件。

最需要人工智能专家的都市区包括旧金山湾区、纽约、波士顿、西雅图和洛杉矶。最对口的行业是计算机软件、互联网、信息科技、高等教育和消费电子。

领英的发言人说，在获得人工智能专家这一工作称号之前，这类人的工作岗位主要是“软件工程师”、“数据科学家”、“研究助理”和“数据工程师”。也就是说，相关人士可以更新他们的职位类型，加入人工智能这个词汇，以便在人工智能蓬勃发展的时代，更好地实现自己的价值。

“谈到人工智能，确实需求爆棚。”伯格说，“但我认为，发展趋势需要把数据科学提升到下一个层级。”（财富中文网）

译者：宣峰

Bye bye blockchain developer, hello artificial intelligence specialist.

That role, A.I. specialist, is the fastest growing U.S. job in terms of number of hires, at least according to LinkedIn, which published its annual emerging jobs report on December 10.

Hirings for A.I. specialists on the career networking service have grown 74% annually over the past four years, LinkedIn said. But it didn’t reveal how many jobs that represents, only that demand for that job role is growing faster than other emerging jobs.

What’s noteworthy about this year’s survey is that last year’s top job role, blockchain developer, is absent from the latest list. It highlights how the recent craze over cryptocurrencies and blockchain created a brief demand for blockchain-related jobs, but as the hype died down, so too did demand for people with blockchain skills.

“It was spectacular, but vanished very quickly,” LinkedIn’s principal economist Guy Berger said. The fact that blockchain developers did not make this year’s emerging job list caused Berger to say that it validates his company’s data by showing it accurately reflects “a failed trend or a flash in the pan.”

No. 2 on the list was “robotics engineer,” an umbrella term for both physical robotics and so-called robotic process automation, a trendier technology that involves software automating basic tasks like entering data into a table. The third fastest growing job in terms of hiring was “data scientist.”

A.I. specialist is an evolution of other machine-learning and data-crunching job titles that have topped the list before. Although A.I. specialists may share some traits with data scientists, the work of data scientists involves a wider set of statistical or data visualizations tools versus just machine learning software, Berger said.

The top metropolitan areas where A.I. specialists are in demand include the San Francisco Bay Area, New York, Boston, Seattle, and Los Angeles. Computer software, Internet, information technology, higher education, and consumer electronics are the industries with the biggest appetite.

The most common jobs that A.I. specialists held prior to labeling themselves with the title include “software engineer,” “data scientist,” “research assistant,” and “data engineer,” a LinkedIn spokesperson said. This suggests that people may be updating their job titles to include artificial intelligence, to put themselves in a better position to capitalize on the current A.I. boom.

“When you talk about A.I., again it’s super high in demand,” Berger said. “I think there’s more and more interest in taking data science to the next level.”